update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.806680881307747
+      value: 0.4761750054147715
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3220
-- F1: 0.8067
+- Loss: 0.4953
+- F1: 0.4762
 
 ## Model description
 
@@ -52,18 +52,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 1
-- eval_batch_size: 1
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5335        | 1.0   | 6000 | 0.3220          | 0.8067 |
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.8324        | 1.0   | 6290  | 0.6470          | 0.2677 |
+| 0.5979        | 2.0   | 12580 | 0.5249          | 0.4056 |
+| 0.4381        | 3.0   | 18870 | 0.4953          | 0.4762 |
 
 
 ### Framework versions